Popular GitHub Repositories for Fact Che

FacTool: Factuality Detection in Generative AI

[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models

Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).

[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"

Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.

[Preprint] Learning to Filter Context for Retrieval-Augmented Generaton

[IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection

This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.

Line bot that checks if a message contains internet rumor.

SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking

Orchestrator Kit for Agentic Reasoning - OrKa is a modular AI orchestration system that transforms Large Language Models (LLMs) into composable agents capable of reasoning, fact-checking, and constructing answers with transparent traceability.

An easy to use framework for large-scale fact-checking and question answering

Fact-Verified Travel AI Agent

Web app enabling users to either record or upload audio files. Then utilizing OpenAI API (Whisper, GPT4) generates transcriptions, summaries, fact checks, sentiment analysis, and text metrics. Users can also intelligently chat about their transcriptions with a GPT4 chatbot. Data is stored relationally in SQLite and also vectorized in Pinecone.

? Transcribe input from your microphone and turn it into key presses on a virtual keyboard. ⌨️ This allows you to use speech-to-text on any application or window system in Linux. In fact, you can use it on the system console.

This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.

Code associated with the EMNLP 2024 Main paper: "Image, tell me your story!" Predicting the original meta-context of visual misinformation.

Fact-checking system for textual and visual inputs.

DocChat is an AI-powered Multi-Agent RAG system using Docling for structured document parsing and BM25 + vector search retrievers to retrieve fact-checked answers from PDFs, DOCX, and text files, preventing hallucinations. ?

Fact Verification for Clinical Notes with LLMs